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Special Topics in Social Network Analysis & Discovery
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App. Res. of Comp. Printed Article
Vol. 42, 2025 No. 1
42-47

Multiple local community detection with integrated node attributes

Chen Lizhou
Feng Junyou
Xu Xuanxiang
Liu Xianbo
Du Yanhui
College of Information & Cyber Security, People's Public Security University of China, Beijing 100038, China
DOI: 10.19734/j.issn.1001-3695.2024.06.0190

Abstract

Multiple local community detection is a key technology in social network analysis, aiming to reveal the multiple affiliations and complex connections of users within networks. Addressing the issue that most existing multiple local community detection algorithms are based on network topology and neglect node attribute information, this paper introduced an algorithm named multiple local community detection with integrated node attributes(MLCDINA). This algorithm combined the structure and attribute information of the attributed network to determine the edge weights between node pairs and evaluated the importance of the integration of structure and attributes(IISA) through random walks. In addition, the algorithm introduced a local clustering coefficient that considered edge weights and an intimacy random walk(IRW) to enhance the evaluation of subgraph density and IISA. Experimental results indicate that MLCDINA significantly improves the Jaccard F1-score over existing algorithms on real attributed networks, verifying its effectiveness in multiple local community detection tasks.

Foundation Support

中国人民公安大学网络空间安全执法技术双一流创新研究专项资助项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.06.0190
Publish at: Application Research of Computers Printed Article, Vol. 42, 2025 No. 1
Section: Special Topics in Social Network Analysis & Discovery
Pages: 42-47
Serial Number: 1001-3695(2025)01-006-0042-06

Publish History

[2025-01-05] Printed Article

Cite This Article

陈李舟, 冯俊又, 徐煊翔, 等. 融合节点属性的局部多重社区发现算法 [J]. 计算机应用研究, 2025, 42 (1): 42-47. (Chen Lizhou, Feng Junyou, Xu Xuanxiang, et al. Multiple local community detection with integrated node attributes [J]. Application Research of Computers, 2025, 42 (1): 42-47. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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